R. J. Skerry-Ryan

39 papers A* 5A 4Misc 6Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Long-Form Speech Generation with Spoken Language Models. ICML Se Jin Park, Julian Salazar, Aren Jansen, Keisuke Kinoshita, Yong Man Ro, R. J. Skerry-Ryan
2025	—	`conf`	Robust and Unbounded Length Generalization in Autoregressive Transformer-Based Text-to-Speech. NAACL (Long Papers) Eric Battenberg, R. J. Skerry-Ryan, Daisy Stanton, Soroosh Mariooryad, Matt Shannon, Julian Salazar, David Kao
2025	J	`jnl`	SequenceLayers: Sequence Processing and Streaming Neural Networks Made Easy. CoRR R. J. Skerry-Ryan, Julian Salazar, Soroosh Mariooryad, David Kao, Daisy Stanton, Eric Battenberg, Matt Shannon, Ron J. Weiss, Robin Scheibler, Jonas Rothfuss, Tom Bagby
2025	A	`conf`	Zero-Shot Mono-to-Binaural Speech Synthesis. INTERSPEECH Alon Levkovitch, Julian Salazar, Soroosh Mariooryad, R. J. Skerry-Ryan, Nadav Bar, W. Bastiaan Kleijn, Eliya Nachmani
2024	J	`jnl`	Long-Form Speech Generation with Spoken Language Models. CoRR Se Jin Park, Julian Salazar, Aren Jansen, Keisuke Kinoshita, Yong Man Ro, R. J. Skerry-Ryan
2024	A*	`conf`	Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM. ICLR Eliya Nachmani, Alon Levkovitch, Roy Hirsch, Julian Salazar, Chulayuth Asawaroengchai, Soroosh Mariooryad, Ehud Rivlin, R. J. Skerry-Ryan, Michelle Tadmor Ramanovich
2024	J	`jnl`	Very Attentive Tacotron: Robust and Unbounded Length Generalization in Autoregressive Transformer-Based Text-to-Speech. CoRR Eric Battenberg, R. J. Skerry-Ryan, Daisy Stanton, Soroosh Mariooryad, Matt Shannon, Julian Salazar, David Kao
2024	J	`jnl`	Zero-Shot Mono-to-Binaural Speech Synthesis. CoRR Alon Levkovitch, Julian Salazar, Soroosh Mariooryad, R. J. Skerry-Ryan, Nadav Bar, W. Bastiaan Kleijn, Eliya Nachmani
2023	J	`jnl`	LMs with a Voice: Spoken Language Modeling beyond Speech Tokens. CoRR Eliya Nachmani, Alon Levkovitch, Julian Salazar, Chulayuth Asawaroengchai, Soroosh Mariooryad, R. J. Skerry-Ryan, Michelle Tadmor Ramanovich
2022	J	`jnl`	Learning the joint distribution of two sequences using little or no paired data. CoRR Soroosh Mariooryad, Matt Shannon, Siyuan Ma, Tom Bagby, David Kao, Daisy Stanton, Eric Battenberg, R. J. Skerry-Ryan
2022	Misc	`conf`	Speaker Generation. ICASSP Daisy Stanton, Matt Shannon, Soroosh Mariooryad, R. J. Skerry-Ryan, Eric Battenberg, Tom Bagby, David Kao
2021	A	`conf`	Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling. Interspeech Isaac Elias, Heiga Zen, Jonathan Shen, Yu Zhang, Ye Jia, R. J. Skerry-Ryan, Yonghui Wu
2021	J	`jnl`	Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling. CoRR Isaac Elias, Heiga Zen, Jonathan Shen, Yu Zhang, Ye Jia, R. J. Skerry-Ryan, Yonghui Wu
2021	J	`jnl`	Speaker Generation. CoRR Daisy Stanton, Matt Shannon, Soroosh Mariooryad, R. J. Skerry-Ryan, Eric Battenberg, Tom Bagby, David Kao
2021	Misc	`conf`	Wave-Tacotron: Spectrogram-Free End-to-End Text-to-Speech Synthesis. ICASSP Ron J. Weiss, R. J. Skerry-Ryan, Eric Battenberg, Soroosh Mariooryad, Diederik P. Kingma
2020	Misc	`conf`	Location-Relative Attention Mechanisms for Robust Long-Form Speech Synthesis. ICASSP Eric Battenberg, R. J. Skerry-Ryan, Soroosh Mariooryad, Daisy Stanton, David Kao, Matt Shannon, Tom Bagby
2020	J	`jnl`	Non-saturating GAN training as divergence minimization. CoRR Matt Shannon, Ben Poole, Soroosh Mariooryad, Tom Bagby, Eric Battenberg, David Kao, Daisy Stanton, R. J. Skerry-Ryan
2020	A*	`conf`	Semi-Supervised Generative Modeling for Controllable Speech Synthesis. ICLR Raza Habib, Soroosh Mariooryad, Matt Shannon, Eric Battenberg, R. J. Skerry-Ryan, Daisy Stanton, David Kao, Tom Bagby
2020	J	`jnl`	Wave-Tacotron: Spectrogram-free end-to-end text-to-speech synthesis. CoRR Ron J. Weiss, R. J. Skerry-Ryan, Eric Battenberg, Soroosh Mariooryad, Diederik P. Kingma
2019	J	`jnl`	Complex Evolution Recurrent Neural Networks (ceRNNs). CoRR Izhak Shafran, Tom Bagby, R. J. Skerry-Ryan
2019	J	`jnl`	Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis. CoRR Eric Battenberg, Soroosh Mariooryad, Daisy Stanton, R. J. Skerry-Ryan, Matt Shannon, David Kao, Tom Bagby
2019	A	`conf`	Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning. INTERSPEECH Yu Zhang, Ron J. Weiss, Heiga Zen, Yonghui Wu, Zhifeng Chen, R. J. Skerry-Ryan, Ye Jia, Andrew Rosenberg, Bhuvana Ramabhadran
2019	J	`jnl`	Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning. CoRR Yu Zhang, Ron J. Weiss, Heiga Zen, Yonghui Wu, Zhifeng Chen, R. J. Skerry-Ryan, Ye Jia, Andrew Rosenberg, Bhuvana Ramabhadran
2019	J	`jnl`	Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis. CoRR Eric Battenberg, R. J. Skerry-Ryan, Soroosh Mariooryad, Daisy Stanton, David Kao, Matt Shannon, Tom Bagby
2019	J	`jnl`	Semi-Supervised Generative Modeling for Controllable Speech Synthesis. CoRR Raza Habib, Soroosh Mariooryad, Matt Shannon, Eric Battenberg, R. J. Skerry-Ryan, Daisy Stanton, David Kao, Tom Bagby
2019	Misc	`conf`	Semi-supervised Training for Improving Data Efficiency in End-to-end Speech Synthesis. ICASSP Yu-An Chung, Yuxuan Wang, Wei-Ning Hsu, Yu Zhang, R. J. Skerry-Ryan
2018	Misc	`conf`	Complex Evolution Recurrent Neural Networks (ceRNNs). ICASSP Izhak Shafran, Tom Bagby, R. J. Skerry-Ryan
2018	Misc	`conf`	Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions. ICASSP Jonathan Shen, Ruoming Pang, Ron J. Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, R. J. Skerry-Ryan, Rif A. Saurous, Yannis Agiomyrgiannakis, Yonghui Wu
2018	J	`jnl`	Predicting Expressive Speaking Style From Text In End-To-End Speech Synthesis. CoRR Daisy Stanton, Yuxuan Wang, R. J. Skerry-Ryan
2018	—	`conf`	Predicting Expressive Speaking Style from Text in End-To-End Speech Synthesis. SLT Daisy Stanton, Yuxuan Wang, R. J. Skerry-Ryan
2018	J	`jnl`	Semi-Supervised Training for Improving Data Efficiency in End-to-End Speech Synthesis. CoRR Yu-An Chung, Yuxuan Wang, Wei-Ning Hsu, Yu Zhang, R. J. Skerry-Ryan
2018	A*	`conf`	Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis. ICML Yuxuan Wang, Daisy Stanton, Yu Zhang, R. J. Skerry-Ryan, Eric Battenberg, Joel Shor, Ying Xiao, Ye Jia, Fei Ren, Rif A. Saurous
2018	J	`jnl`	Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis. CoRR Yuxuan Wang, Daisy Stanton, Yu Zhang, R. J. Skerry-Ryan, Eric Battenberg, Joel Shor, Ying Xiao, Fei Ren, Ye Jia, Rif A. Saurous
2018	A*	`conf`	Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron. ICML R. J. Skerry-Ryan, Eric Battenberg, Ying Xiao, Yuxuan Wang, Daisy Stanton, Joel Shor, Ron J. Weiss, Rob Clark, Rif A. Saurous
2018	J	`jnl`	Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron. CoRR R. J. Skerry-Ryan, Eric Battenberg, Ying Xiao, Yuxuan Wang, Daisy Stanton, Joel Shor, Ron J. Weiss, Rob Clark, Rif A. Saurous
2017	J	`jnl`	Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. CoRR Jonathan Shen, Ruoming Pang, Ron J. Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, R. J. Skerry-Ryan, Rif A. Saurous, Yannis Agiomyrgiannakis, Yonghui Wu
2017	J	`jnl`	Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. CoRR Yuxuan Wang, R. J. Skerry-Ryan, Daisy Stanton, Yonghui Wu, Ron J. Weiss, Navdeep Jaitly, Zongheng Yang, Ying Xiao, Zhifeng Chen, Samy Bengio, Quoc V. Le, Yannis Agiomyrgiannakis, Rob Clark, Rif A. Saurous
2017	A	`conf`	Tacotron: Towards End-to-End Speech Synthesis. INTERSPEECH Yuxuan Wang, R. J. Skerry-Ryan, Daisy Stanton, Yonghui Wu, Ron J. Weiss, Navdeep Jaitly, Zongheng Yang, Ying Xiao, Zhifeng Chen, Samy Bengio, Quoc V. Le, Yannis Agiomyrgiannakis, Rob Clark, Rif A. Saurous
2017	J	`jnl`	Uncovering Latent Style Factors for Expressive Speech Synthesis. CoRR Yuxuan Wang, R. J. Skerry-Ryan, Ying Xiao, Daisy Stanton, Joel Shor, Eric Battenberg, Rob Clark, Rif A. Saurous

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.